Note: The job is a remote job and is open to candidates in USA. Coalition is an Active Insurance provider combining insurance coverage with cybersecurity tools to help businesses manage digital risk. The Software Engineer will build and deploy AI agents that automate manual work across Coalition, including authoring skills, connecting agents to systems through MCP, creating evaluations, and supporting production workflows. The role partners closely with business and data teams as an individual contributor.
Responsibilities
- **Author skills:** Turn a team's process, judgment, and edge cases into reusable skills that agents can invoke. Write them so the next project can reuse them instead of rebuilding them
- **Build within our agent architecture:** Wire agents to the systems of record through MCP servers, compose skills and tools into working workflows, and add new MCP surface area when a system we need is not covered yet
- **Build evals:** Define what "correct" means with the business team before you build. Build the eval set, establish a baseline, and use it to make calls about what ships. Nothing goes live on vibes
- **Deploy and support agents:** Take agents from prototype to production, including permissions, human-in-the-loop checkpoints, audit trails, and rollback. Tune from how they behave once real users are in front of them, and leave behind docs and an owner on the business team who can run it without you
- **Partner with the data team:** Work with our data engineers on the access, models, and quality of the data your agents read and write. Bring them requirements early rather than working around them
Skills
- * **AI application building (primary):** Substantial hands-on experience shipping LLM-backed applications: prompting, tool use, agentic loops, and multi-step workflows. You know where these break and how to contain the damage when they do. You have shipped at least one agent that non-engineers depend on
- * **Agent tooling:** Practical experience with MCP, skill or tool authoring, and orchestrating agents against real systems of record
- * **Evals:** You have built eval sets and used them to make decisions, not just to make a slide look good
- * **Coding agents:** Fluent with agentic coding tools like Cursor. You use them to move faster inside codebases you did not write
- * **Core development:** Strong Python. Comfortable with SQL and working directly against production data models
- * **Business fluency:** You can sit with a non-technical operator, map their process, and translate it into requirements without a PM in the room
- * **Comfort with ambiguity:** Undocumented processes, half-broken internal tools, and unclear ownership are the normal starting conditions. You find the thread and pull it
- * **Shipping discipline:** Git, CI, containers, and enough operational instinct to deploy your own work and keep it healthy
- * **Experience:** At least 5+ years of hands-on software development experience
- * Experience building or maintaining MCP servers
- * Prior solutions engineering, professional services, internal tools, or startup founding experience
- * Working knowledge of the systems we automate against: Linear, Jira, Zendesk, Salesforce, Snowflake
- * Insurance, fintech, or another regulated domain where being wrong has a compliance cost
Benefits
- 100% medical, dental and vision coverage
- Flexible PTO policy
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
- Opportunity for advancement
- Remote-first work arrangement
Company Overview
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